Data, Analytics and Interpretation Certificate

With this certificate, you’re better prepared to think critically about data—what it means, how to use it and the impact it can have on an organization.

Data science is a growing field with significant advances in machine learning, artificial intelligence and deep learning. With all of these advances comes more data. Understanding how to interpret the data and what actions should be taken are key skills for the future:

  • Strengthen your critical thinking about data use and interpretation.
  • Improve your ability to distinguish appropriate versus inappropriate use of analytics.
  • Better understand modern data science and the potential implications for your organization’s business strategy.
  • Use analytics to make better decisions.
  • See the big picture and think strategically about data and data science.
  • Location
  • Duration
    4 weeks
  • Format
    Live virtual
  • Start
    October 11
  • Cost


  • Part 1: Demystifying Data Science

    Learn a straightforward framework for understanding how data mining, machine learning and artificial intelligence fit together and how your organization might better use data science to improve business operations.

    October 11 & 12, 2023

  • Part 2: Distinguishing the Truth from the Lies

    Learn the critical thinking framework that helps you think objectively about the way data is presented and improves your data-based decision-making skills.

    October 18 & 19, 2023

  • Part 3: Data-Driven Decision-Making

    Examine the question, How do you use data to make better decisions? Through real-life examples and activity-based exercises, you improve your risk-assessment abilities, situation analysis and strategic decision-making skills.

    October 25 & 26, 2023

  • Part 4: Quant IQ—Integrating What We’ve Learned

    Using the knowledge built in previous sessions, you develop your capability to be conversant with data scientists and analysts and further hone your ability to ask critical questions of data-driven analysis and presentations.

    November 1 & 2, 2023

Get to Know the Instructors

Samuel Chun

Samuel Chun

Professor of Practice

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Liberty Vittert

Liberty Vittert

Professor of Practice

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